Alle Publikationen
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2016
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(2016): Bridging the Ethical Gap: From Human Principles to Robot Instructions. In: IEEE Intelligent Systems 31 (5), S. 76-82. DOI: 10.1109/MIS.2016.87
DOI: https://doi.org/10.1109/MIS.2016.87 Abstract: Asimov’s three laws of robotics and the Murphy-Woods alternative laws assume that a robot has the cognitive ability to make moral decisions, and fail to escape the myth of self-sufficiency. But ethical decision making on the part of robots in human-robot interaction is grounded on the interdependence of human and machine. Furthermore, the proposed laws are high-level principles that cannot easily be translated into machine instructions because there is an immense gap between the architecture, implementation, and activity of humans and robots in addressing ethical situations. The characterization of the ethical gap, particularly with reference to the Murphy-Woods laws, leads to a proposal for a shift in focus away from the autonomous behavior of the robot to human-robot communication at the interface, and the development of interdependence rules to underpin the process of ethical decision-making.
Keywords: autonomous behavior, cognitive ability, Context modeling, control engineering computing, ethical decision making, ethical gap, ethical interdependence, Ethics, human principle, human-robot interaction, human-robot interface, ieee xplore, Intelligent Systems, Law, laws of robotics, Moral & Ethik, Murphy-Woods alternative laws, Robot Ethics, robot instruction, Robot kinematics, Robot sensing systems, Robotics, standards 2008
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(2008) : Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach: 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2: Washington, DC, US: IEEE Computer Society, S. 245-251
DOI: https://doi.org/10.1109/WIIAT.2008.184 Abstract: The understanding of the micro-macro link is an urgent need in the study of social systems. The complex adaptive nature of social systems adds to the challenges of understanding social interactions and system feedback and presents substantial scope and potential for extending the frontiers of computer-based research tools such as simulations and agent-based technologies. In this project, we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the development of collective social moral norms as representative sample of the bigger micro-macro link of social systems. We outline our computational model of ethical trust (CMET) informed by research findings from trust, machine ethics and neural science. Guided by the CMET architecture, we discuss key implementation ideas for the simulations of ethical trust and social moral norms.
Keywords: Adaptive systems, Agent Ensemble, Analytical models, Australia, bio-inspired agent, complex adaptive nature, computational model, Computational modeling, Computer Simulation, computer-based research tools, Context modeling, ethical aspects, ethical trust, Ethics, ieee xplore, intelligent agent, Intelligent structures, micromacro link, Moral & Ethik, moral norms, Object oriented modeling, research questions, Social interactions, social moral norms simulation, social sciences -
(2008) : IslEnquirer: Social user model acquisition through network analysis and interactive learning: 2008 IEEE Spoken Language Technology Workshop: Goa, India: IEEE, S. 117-120
DOI: https://doi.org/10.1109/SLT.2008.4777854 Abstract: We present an approach to introduce social awareness in interactive systems. The IslEnquirer is a system which automatically builds social user models. It initializes the models by social network analysis of available offline data. These models are then verified and extended by interactive learning which is carried out by a robot initiated spoken dialog with the user.
Keywords: Automatic speech recognition, Automation, Cognitive robotics, Context modeling, Data Mining, Humanoid Robots, Humans, ieee xplore, Information retrieval, interactive learning, interactive system, interactive systems, IslEnquirer, Künstliche Intelligenz, learning (artificial intelligence), Robot, Robotics, social awareness, social network analysis, Social network services, social networking (online), social networks, social user model acquisition, spoken dialog, spoken dialog system, user modeling, user modelling 2007
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(2007) : Robopal: Modeling Role Transitions in Human-Robot Interaction: Proceedings 2007 IEEE International Conference on Robotics and Automation: Roma, Italy: IEEE Robotics & Automation Society, S. 2130-2137
DOI: https://doi.org/10.1109/ROBOT.2007.363636 Abstract: We have developed a new communication robot, Robopal, which is an indoor/outdoor robot for use in human-robot interaction research in the context of daily life. Robopal’s intended applications involve leading and/or following a human to a destination. Preliminary experiments have been conducted to study nonverbal cues associated with leading and following behavior, and it has been observed that some behaviors, such as glancing towards the leader or follower, appear to be role-dependent. A system for representing these behaviors with a state transition model is described, based on four kinds of interaction roles: directive, responsive, collaborative, and independent. It is proposed that behavior modeling can be simplified by using this system to represent changes in the roles the robot and human play in an interaction, and by associating appropriate behaviors to each role
Keywords: Angemessen(heit) (von Technik), Automation, Collaboration, communication robot, Context modeling, Human robot interaction, human-robot interaction, ieee xplore, indoor-outdoor robot, intelligent robots, Laboratories, Legged locomotion, man-machine systems, Mobile robots, Power system reliability, Robopal, Robotics, state transition model, Wheels 2005
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(2005): Active affective State detection and user assistance with dynamic bayesian networks. In: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 35 (1), S. 93-105. DOI: 10.1109/TSMCA.2004.838454
DOI: https://doi.org/10.1109/TSMCA.2004.838454 Abstract: With the rapid development of pervasive and ubiquitous computing applications, intelligent user-assistance systems face challenges of ambiguous, uncertain, and multimodal sensory observations, user’s changing state, and various constraints on available resources and costs in making decisions. We introduce a new probabilistic framework based on the dynamic Bayesian networks (DBNs) to dynamically model and recognize user’s affective states and to provide the appropriate assistance in order to keep user in a productive state. We incorporate an active sensing mechanism into the DBN framework to perform purposive and sufficing information integration in order to infer user’s affective state and to provide correct assistance in a timely and efficient manner. Experiments involving both synthetic and real data demonstrate the feasibility of the proposed framework as well as the effectiveness of the proposed active sensing strategy.
Keywords: active affective state detection, active fusion, active sensing mechanism, affective state detection, Angemessen(heit) (von Technik), Bayesian methods, Bayesian networks (BNs), belief networks, Context modeling, Costs, dynamic Bayesian networks, Face detection, ieee xplore, information integration, Information theory, Intelligent networks, Intelligent sensors, Intelligent Systems, intelligent user assistance system, probabilistic framework, sensor fusion, Systems engineering, theory, Ubiquitous computing, user assistance, user interfaces
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